Day 2, April 15 - Presentations
Start Date
15-4-2020 1:00 PM
End Date
15-4-2020 3:00 PM
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Reduced-order modeling (ROM) in the context of large-eddy simulation (LES) presents a computationally efficient and accurate strategy for simulation-based design studies. In this talk, application of a Galerkin projection-based ROM strategy to perform LES of a freely propagating methane/air turbulent premixed flame will be presented. The projection approach utilizes spatially varying proper orthogonal decomposition (POD) based modes obtained from a reference simulation as basis functions and solves for the time-dependent coefficients of the corresponding basis functions to obtain the solution. Since chemically reacting turbulent flows are governed by nonlinear system of equations, therefore, only employing a projection approach does not reduce the overall computational complexity. This is addressed by using the discrete empirical interpolation method (DEIM). The two ROM strategies, referred to as POD and POD-DEIM, are evaluated for their ability in predicting structural and statistical features of a freely propagating turbulent premixed flame.
Date
4-15-2020
Document Type
presentations
Language
English
Rights
http://rightsstatements.org/vocab/InC/1.0/
License
http://creativecommons.org/licenses/by/4.0/
Recommended Citation
Ranjan, Reetesh, "Application of reduced order modeling for simulation of turbulent combustion". ReSEARCH Dialogues Conference proceedings. https://scholar.utc.edu/research-dialogues/2020/day2_presentations/63.
PDF version of presentation.
Application of reduced order modeling for simulation of turbulent combustion
Reduced-order modeling (ROM) in the context of large-eddy simulation (LES) presents a computationally efficient and accurate strategy for simulation-based design studies. In this talk, application of a Galerkin projection-based ROM strategy to perform LES of a freely propagating methane/air turbulent premixed flame will be presented. The projection approach utilizes spatially varying proper orthogonal decomposition (POD) based modes obtained from a reference simulation as basis functions and solves for the time-dependent coefficients of the corresponding basis functions to obtain the solution. Since chemically reacting turbulent flows are governed by nonlinear system of equations, therefore, only employing a projection approach does not reduce the overall computational complexity. This is addressed by using the discrete empirical interpolation method (DEIM). The two ROM strategies, referred to as POD and POD-DEIM, are evaluated for their ability in predicting structural and statistical features of a freely propagating turbulent premixed flame.